Efficient Interactive Annotation of Segmentation Datasets With Polygon-RNN++. - David Acuna; Huan Ling; Amlan Kar; Sanja Fidler (CVPR, 2018)

Training Deep Networks With Synthetic Data: Bridging the Reality Gap by Domain Randomization. - Jonathan Tremblay; Aayush Prakash; David Acuna; Mark Brophy; Varun Jampani; Cem Anil; Thang To; Eric Cameracci; Shaad Boochoon; Stan Birchfield (CVPR Workshops, 2018)

Conditional predictive Bayesian Cramér-Rao Lower Bounds for prognostic algorithms design. - David Acuna; Marcos E. Orchard; Raimundo Saona (Appl. Soft Comput., 2018)

Devil Is in the Edges: Learning Semantic Boundaries From Noisy Annotations. - David Acuna; Amlan Kar; Sanja Fidler (CVPR, 2019)

Object Instance Annotation With Deep Extreme Level Set Evolution. - Zian Wang; David Acuna; Huan Ling; Amlan Kar; Sanja Fidler (CVPR, 2019)

Neural Turtle Graphics for Modeling City Road Layouts. - Hang Chu; Daiqing Li; David Acuna; Amlan Kar; Maria Shugrina; Xinkai Wei; Ming-Yu Liu 001; Antonio Torralba 001; Sanja Fidler (ICCV, 2019)

Meta-Sim: Learning to Generate Synthetic Datasets. - Amlan Kar; Aayush Prakash; Ming-Yu Liu 001; Eric Cameracci; Justin Yuan; Matt Rusiniak; David Acuna; Antonio Torralba 001; Sanja Fidler (ICCV, 2019)

Gated-SCNN: Gated Shape CNNs for Semantic Segmentation. - Towaki Takikawa; David Acuna; Varun Jampani; Sanja Fidler (ICCV, 2019)

Structured Domain Randomization: Bridging the Reality Gap by Context-Aware Synthetic Data. - Aayush Prakash; Shaad Boochoon; Mark Brophy; David Acuna; Eric Cameracci; Gavriel State; Omer Shapira; Stan Birchfield (ICRA, 2019)

Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data. - Xi Yan 003; David Acuna; Sanja Fidler (CVPR, 2020)

Variational Amodal Object Completion. - Huan Ling; David Acuna; Karsten Kreis; Seung Wook Kim 001; Sanja Fidler (NeurIPS, 2020)

f-Domain Adversarial Learning: Theory and Algorithms. - David Acuna; Guojun Zhang; Marc T. Law; Sanja Fidler (ICML, 2021)

Towards Optimal Strategies for Training Self-Driving Perception Models in Simulation. - David Acuna; Jonah Philion; Sanja Fidler (NeurIPS, 2021)

Scalable Neural Data Server: A Data Recommender for Transfer Learning. - Tianshi Cao; Sasha Doubov; David Acuna; Sanja Fidler (NeurIPS, 2021)

Complex Momentum for Learning in Games. - Jonathan Lorraine; David Acuna; Paul Vicol; David Duvenaud (CoRR, 2021)

Complex Momentum for Optimization in Games. - Jonathan P. Lorraine; David Acuna; Paul Vicol; David Duvenaud (AISTATS, 2022)

How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. - Rafid Mahmood; James Lucas; David Acuna; Daiqing Li; Jonah Philion; José M. Álvarez 004; Zhiding Yu; Sanja Fidler; Marc T. Law (CVPR, 2022)

Neural Light Field Estimation for Street Scenes with Differentiable Virtual Object Insertion. - Zian Wang; Wenzheng Chen; David Acuna; Jan Kautz; Sanja Fidler (ECCV (2), 2022)

Domain Adversarial Training: A Game Perspective. - David Acuna; Marc T. Law; Guojun Zhang; Sanja Fidler (ICLR, 2022)

Federated Learning with Heterogeneous Architectures using Graph HyperNetworks. - Or Litany; Haggai Maron; David Acuna; Jan Kautz; Gal Chechik; Sanja Fidler (CoRR, 2022)

DreamTeacher: Pretraining Image Backbones with Deep Generative Models. - Daiqing Li; Huan Ling; Amlan Kar; David Acuna; Seung Wook Kim 001; Karsten Kreis; Antonio Torralba 001; Sanja Fidler (ICCV, 2023)

Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. - Viraj Prabhu; David Acuna; Andrew Liao; Rafid Mahmood; Marc T. Law; Judy Hoffman; Sanja Fidler; James Lucas (CoRR, 2023)

Bridging the Sim2Real gap with CARE: Supervised Detection Adaptation with Conditional Alignment and Reweighting. - Viraj Prabhu; David Acuna; Rafid Mahmood; Marc T. Law; Yuan-Hong Liao; Judy Hoffman; Sanja Fidler; James Lucas (Trans. Mach. Learn. Res., 2023)

Visual Learning Using Synthetic Data - David Acuna (2023)

Photorealistic Object Insertion with Diffusion-Guided Inverse Rendering. - Ruofan Liang; Zan Gojcic; Merlin Nimier-David; David Acuna; Nandita Vijaykumar; Sanja Fidler; Zian Wang (ECCV (61), 2024)

Reasoning Paths with Reference Objects Elicit Quantitative Spatial Reasoning in Large Vision-Language Models. - Yuan-Hong Liao; Rafid Mahmood; Sanja Fidler; David Acuna (EMNLP, 2024)

Transferring Labels to Solve Annotation Mismatches Across Object Detection Datasets. - Yuan-Hong Liao; David Acuna; Rafid Mahmood; James Lucas; Viraj Prabhu; Sanja Fidler (ICLR, 2024)

Can Feedback Enhance Semantic Grounding in Large Vision-Language Models? - Yuan-Hong Liao; Rafid Mahmood; Sanja Fidler; David Acuna (CoRR, 2024)

RefFusion: Reference Adapted Diffusion Models for 3D Scene Inpainting. - Ashkan Mirzaei; Riccardo de Lutio; Seung Wook Kim 001; David Acuna; Jonathan Kelly; Sanja Fidler; Igor Gilitschenski; Zan Gojcic (CoRR, 2024)

Can Large Vision-Language Models Correct Semantic Grounding Errors By Themselves? - Yuan-Hong Liao; Rafid Mahmood; Sanja Fidler; David Acuna (CVPR, 2025)

Retro-Search: Exploring Untaken Paths for Deeper and Efficient Reasoning. - Ximing Lu; Seungju Han 002; David Acuna; Hyunwoo Kim 002; Jaehun Jung; Shrimai Prabhumoye; Niklas Muennighoff; Mostofa Patwary; Mohammad Shoeybi; Bryan Catanzaro; Yejin Choi 001 (CoRR, 2025)

LongPerceptualThoughts: Distilling System-2 Reasoning for System-1 Perception. - Yuan-Hong Liao; Sven Elflein; Liu He; Laura Leal-Taixé; Yejin Choi 001; Sanja Fidler; David Acuna (CoRR, 2025)

Prismatic Synthesis: Gradient-based Data Diversification Boosts Generalization in LLM Reasoning. - Jaehun Jung; Seungju Han 002; Ximing Lu; Skyler Hallinan; David Acuna; Shrimai Prabhumoye; Mostafa Patwary; Mohammad Shoeybi; Bryan Catanzaro; Yejin Choi 001 (CoRR, 2025)

Socratic-MCTS: Test-Time Visual Reasoning by Asking the Right Questions. - David Acuna; Ximing Lu; Jaehun Jung; Hyunwoo Kim 002; Amlan Kar; Sanja Fidler; Yejin Choi 001 (CoRR, 2025)

Goedel-Prover-V2: Scaling Formal Theorem Proving with Scaffolded Data Synthesis and Self-Correction. - Yong Lin; Shange Tang; Bohan Lyu 001; Ziran Yang; Jui-Hui Chung; Haoyu Zhao; Lai Jiang; Yihan Geng; Jiawei Ge 003; Jingruo Sun; Jiayun Wu; Jiri Gesi; et al. (CoRR, 2025)